FYI, either way, this is probably just adding another case to
https://github.com/apache/beam/blob/c2a088339831c00ce021bd0d3197c3e84b739ede/sdks/python/apache_beam/runners/portability/universal_local_runner.py#L79

On Thu, Feb 8, 2018 at 3:54 PM, Ben Sidhom (JIRA) <j...@apache.org> wrote:
>
>     [ 
> https://issues.apache.org/jira/browse/BEAM-2591?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16357726#comment-16357726
>  ]
>
> Ben Sidhom commented on BEAM-2591:
> ----------------------------------
>
> [~kenn]
>
> Is this still the case? Do we want the Python SDK to spin up a Flink 
> deployment and then submit jobs to it? If not, then we need the endpoint of 
> an already-running Job API anyway. This is no different for Flink than any 
> other runner.
>
> The main distinction here is if we want the FlinkRunner to run locally, in 
> which case it might be reasonable to have Flink create an in-process 
> "deployment" and execute against it.
>
>> Python shim for submitting to FlinkRunner
>> -----------------------------------------
>>
>>                 Key: BEAM-2591
>>                 URL: https://issues.apache.org/jira/browse/BEAM-2591
>>             Project: Beam
>>          Issue Type: Sub-task
>>          Components: runner-flink, sdk-py-core
>>            Reporter: Kenneth Knowles
>>            Priority: Major
>>              Labels: portability
>>
>> Whatever the result of https://s.apache.org/beam-job-api, Python users will 
>> need to be able to pass --runner=FlinkRunner and have it work.
>
>
>
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